Literature DB >> 17394128

MSE with mass defect filtering for in vitro and in vivo metabolite identification.

Kevin P Bateman1, Jose Castro-Perez, Mark Wrona, John P Shockcor, Kate Yu, Renata Oballa, Deborah A Nicoll-Griffith.   

Abstract

Metabolite identification studies involve the detection and structural characterization of the biotransformation products of drug candidates. These experiments are necessary throughout the drug discovery and development process. The use of high-resolution chromatography and high-resolution mass spectrometry together with data processing using mass defect filtering is described for in vitro and in vivo metabolite identification studies. Data collection was done using UPLC coupled with an orthogonal hybrid quadrupole time-of-flight mass spectrometer. This experimental approach enabled the use of MS(E) data collection (where E represents collision energy) which has previously been shown to be a powerful approach for metabolite identification studies. Post-acquisition processing with a prototype mass defect filtering program was used to eliminate endogenous interferences in the study samples, greatly enhancing the discovery of metabolites. The ease of this approach is illustrated by results showing the detection and structural characterization of metabolites in plasma from a preclinical rat pharmacokinetic study. Copyright 2007 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17394128     DOI: 10.1002/rcm.2996

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  34 in total

1.  Chronic caloric restriction partially protects against age-related alteration in serum metabolome.

Authors:  Jennifer M De Guzman; Ginger Ku; Ryan Fahey; Yun-Hee Youm; Ignatius Kass; Donald K Ingram; Vishwa Deep Dixit; Indu Kheterpal
Journal:  Age (Dordr)       Date:  2012-06-04

2.  MS(M), an efficient workflow for metabolite identification using hybrid linear ion trap Orbitrap mass spectrometer.

Authors:  Robert Cho; Yingying Huang; Jae C Schwartz; Yan Chen; Timothy J Carlson; Ji Ma
Journal:  J Am Soc Mass Spectrom       Date:  2012-02-14       Impact factor: 3.109

3.  Metabolism profile of quinocetone in swine by ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry.

Authors:  Haixia Wu; Chunyan Yang; Zhanhui Wang; Jianzhong Shen; Suxia Zhang; Peisheng Feng; Linxia Li; Linli Cheng
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2011-09-20       Impact factor: 2.441

4.  Global metabolic profiling procedures for urine using UPLC-MS.

Authors:  Elizabeth J Want; Ian D Wilson; Helen Gika; Georgios Theodoridis; Robert S Plumb; John Shockcor; Elaine Holmes; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2010-06       Impact factor: 13.491

Review 5.  Xenobiotic metabolism: a view through the metabolometer.

Authors:  Andrew D Patterson; Frank J Gonzalez; Jeffrey R Idle
Journal:  Chem Res Toxicol       Date:  2010-05-17       Impact factor: 3.739

6.  Analysis of synthetic cannabinoids using high-resolution mass spectrometry and mass defect filtering: implications for nontargeted screening of designer drugs.

Authors:  Megan Grabenauer; Wojciech L Krol; Jenny L Wiley; Brian F Thomas
Journal:  Anal Chem       Date:  2012-06-20       Impact factor: 6.986

7.  Quantitative-qualitative data acquisition using a benchtop Orbitrap mass spectrometer.

Authors:  Kevin P Bateman; Markus Kellmann; Helmut Muenster; Robert Papp; Lester Taylor
Journal:  J Am Soc Mass Spectrom       Date:  2009-03-06       Impact factor: 3.109

8.  Post-acquisition data processing for the screening of transformation products of different organic contaminants. Two-year monitoring of river water using LC-ESI-QTOF-MS and GCxGC-EI-TOF-MS.

Authors:  S Herrera López; M M Ulaszewska; M D Hernando; M J Martínez Bueno; M J Gómez; A R Fernández-Alba
Journal:  Environ Sci Pollut Res Int       Date:  2014-06-22       Impact factor: 4.223

Review 9.  Drug metabolite profiling and identification by high-resolution mass spectrometry.

Authors:  Mingshe Zhu; Haiying Zhang; W Griffith Humphreys
Journal:  J Biol Chem       Date:  2011-06-01       Impact factor: 5.157

10.  Non-linear classification for on-the-fly fractional mass filtering and targeted precursor fragmentation in mass spectrometry experiments.

Authors:  Marc Kirchner; Wiebke Timm; Peying Fong; Philine Wangemann; Hanno Steen
Journal:  Bioinformatics       Date:  2010-02-04       Impact factor: 6.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.